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Related Experiment Videos

Susceptibility scoring in family-based association testing.

Laila M Poisson1, Benjamin A Rybicki, Steven W Coon

  • 1Department of Biostatistics and Research Epidemiology, Henry Ford Health Sciences Center, Detroit, Michigan, USA. lpoisson@umich.edu

BMC Genetics
|February 21, 2004
PubMed
Summary

Adjusting for environmental factors in family genetic studies can reduce the power to detect disease associations. This susceptibility residual method may not be suitable for complex genetic models.

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Area of Science:

  • Genetic Epidemiology
  • Statistical Genetics

Background:

  • Family-based association testing is crucial in genetic epidemiology.
  • Existing methods accommodate multiple siblings, unaffected offspring, and environmental covariates.
  • This study investigates a susceptibility residual method for covariate adjustment.

Purpose of the Study:

  • To evaluate the impact of a susceptibility residual method on the power of genetic association tests.
  • To assess the utility of this method in the context of independent genetic and environmental effects.
  • To explore its applicability in more complex disease models.

Main Methods:

  • Simulation studies to assess the effect of environmental adjustments.
  • Application of the residual adjusted method to Framingham Heart Study offspring data.

Related Experiment Videos

  • Analysis of power to detect genetic association under different covariate adjustment strategies.

    • Main Results:

    • Environmental adjustments that down-weight individuals likely to be affected decrease statistical power.
    • The residual adjusted method yielded mixed results when applied to the Framingham Heart Study data.
    • The method showed a reduction in the power of association tests when genetic and environmental effects were independent.

    Conclusions:

    • The susceptibility residual method of adjusting for environmental covariates reduces association test power when genetic and environmental effects are independent.
    • Further research is needed to determine the appropriateness of residual adjustment in complex disease models.
    • The findings suggest caution when applying this method in genetic epidemiology studies.